Senior Software Engineer

Mastercard is hiring a Senior Software Engineer in London, United Kingdom. Level rates it ; you can apply on Mastercard.

Level's read on this job

Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
Level classifies it as a senior role.
Level lists 931 other open roles at Mastercard.
The role was posted in the last few days.

AI in this role

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Software Engineer

Job Overview
You'll join the Real Time Payments (RTP) Platform, Tooling & Engineering Enablement team as a senior technical individual contributor. We uplift engineering across RTP and act as a force multiplier for the program. We align RTP to Mastercard standards across platform, CI/CD, and governance, while improving developer experience and supporting AI enablement. You’ll apply strong engineering knowledge to technical problems, working with teams across RTP Engineering.

How success is measured
The team is measured on four key areas:
• Developer Experience – DX improves across RTP and stays above the Mastercard benchmark
• Innovation & Architecture – the right technology comes into RTP, and what works is shared back with the enterprise
• AI Enablement – AI is adopted consistently and acts as a force multiplier across RTP
• Standards & Governance – Mastercard and RTP standards embedded, with teams, including our own, held to them

Major Accountabilities
• Apply strong engineering expertise to improve how RTP builds, tests, and ships software
• Contribute to the design and delivery of secure, resilient, and scalable solutions with clear, well-documented designs
• Investigate technical problems, analysing data and areas of failure or inefficiency, and turn findings into practical recommendations
• Evaluate approved engineering practices and technologies that could improve how RTP works
• Support practical AI adoption across RTP Engineering teams using approved tools
• Help embed standards and governance by supporting adoption, reviewing how we work, and helping turn gaps into owned actions or items for the program tech roadmap
• Work with teams across RTP to support shared engineering outcomes
• Communicate technical topics clearly to leadership through concise reporting and recommendations
• Share engineering knowledge and provide guidance to engineers across cross-functional teams

Education
• Bachelor's degree in Computer Science, Information Technology, or Engineering, or equivalent experience

Knowledge / Experience
• Strong experience in software engineering and software design, with Java desired
• Strong experience in CI/CD
• Strong experience in platform engineering and cloud
• Experience delivering complex technical work and contributing to solution design
• Experience using AI in day-to-day engineering, such as AI coding assistants and agents, and supporting adoption across teams
• Experience applying engineering standards, including design, secure coding, and testing
• Experience presenting technical information clearly to business and technology audiences
• Experience supporting and guiding other engineers
• Experience working effectively across teams without direct authority
• Knowledge of payments, or experience working in a regulated industry

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

How we rate this

Senior Software Engineer at Mastercard rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.